Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.net/journal/epe
E-mail: [email protected]

Citations

"Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine"
written by Aiqiang Pan, Jian Zhou, Peng Zhang, Shunfu Lin, Jikai Tang,
published by Energy and Power Engineering, Vol.9 No.4B, 2017

has been cited by the following article(s):

[1]	Power Quality Prediction at Consumers Using a Hybrid Knowledge-Based Approach
	2023 IEEE …, 2023

[2]	A Machine-Learning Pipeline for Large-Scale Power-Quality Forecasting in the Mexican Distribution Grid
	Nava, JR Cedeno Gonzalez… - Applied Sciences, 2022

[3]	Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm …
	Sensors, 2017

[4]	Modeling and compensation of random drift of MEMS gyroscopes based on least squares support vector machine optimized by chaotic particle swarm optimization
	2017

[1]	Power Quality Prediction at Consumers Using a Hybrid Knowledge-Based Approach 2023 IEEE International Smart Cities Conference (ISC2), 2023 DOI:10.1109/ISC257844.2023.10293729

[2]	A Machine-Learning Pipeline for Large-Scale Power-Quality Forecasting in the Mexican Distribution Grid Applied Sciences, 2022 DOI:10.3390/app12178423

[3]	Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm Optimization Sensors, 2017 DOI:10.3390/s17102335

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